Added
7 hours ago
Type
Full time
Salary
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Related skills

docker aws python kubernetes tensorflow

πŸ“‹ Description

  • Lead technical evaluations of emerging AI/ML technologies via prototypes and experiments.
  • Analyze benefits, tradeoffs, risks; communicate findings to stakeholders.
  • Design, develop, test, and deploy production AI/ML apps in AWS.
  • Build, train, evaluate, and optimize ML models for enterprise use cases.
  • Support AI/ML app development across engineering, ops, security, and cloud-native teams.
  • Drive adoption of modern AI tech and scalable practices in enterprise.

🎯 Requirements

  • Bachelors in CS/Data Science/Engineering/Math or equivalent experience.
  • 7–10 years in software/cloud engineering or related field.
  • At least 3 years deploying production apps in AWS.
  • At least 2 years deploying production AI/ML apps in enterprise environments.
  • Strong Python; hands-on with TensorFlow or PyTorch.
  • Experience with AI/ML platforms like SageMaker, Bedrock, HF, or similar.

🎁 Benefits

  • Annual salary $180,000–$230,000 USD
  • Annual discretionary bonus and performance incentives
  • Remote work environment with hybrid options
  • Medical, dental, and vision insurance
  • Life and disability coverage
  • Employee Assistance Program
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